Q86WK9 AF NFT

Membrane progestin receptor alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidcsibebihepwlciswyfjznd3ofb52gsqs24zgroq5wdevt4rfs64/metadata.json
IPFS of structure file: 
bafybeianatxahyfw6kafwanxp3qnylafpxlhrw3foip6f6emj5f6tyu3yy/AF-Q86WK9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd4e637F33801C93D747D9f6a36b53Bee704968e6
First NFT owner address (bech32): 
genesis16nnr0uecq8yn6arana4rddfmaecyj68xttzhc6
Current NFT ID #288286 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
288286
Accession (UniProt):
Q86WK9
Name::
Membrane progestin receptor alpha
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q86WK9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86WK9|PAQR7_HUMAN Membrane progestin receptor alpha OS=Homo sapiens OX=9606 GN=PAQR7 PE=1 SV=1 MAMAQKLSHLLPSLRQVIQEPQLSLQPEPVFTVDRAEVPPLFWKPYIYAGYRPLHQTWRFYFRTLFQQHNEAVNVWTHLLAALVLLLRLALFVETVDFWGDPHALPLFIIVLASFTYLSFSALAHLLQAKSEFWHYSFFFLDYVGVAVYQFGSALAHFYYAIEPAWHAQVQAVFLPMAAFLAWLSCIGSCYNKYIQKPGLLGRTCQEVPSVLAYALDISPVVHRIFVSSDPTTDDPALLYHKCQVVFFLLAAAFFSTFMPERWFPGSCHVFGQGHQLFHIFLVLCTLAQLEAVALDYEARRPIYEPLHTHWPHNFSGLFLLTVGSSILTAFLLSQLVQRKLDQKTK